Multiple sclerosis is the most common cause of chronic neurological disability in young adults, despite this the aetiology is poorly understood and this is largely due to the limited availability of suitable tissue and limitations of current models. To gain insight on this complicated disease, a model was created which utilises adipose stem cells. This disease in a dish model compares adipose stem cells obtained from both multiple sclerosis and non-multiple sclerosis patients that have undergone neuronal differentiation. Cellular and secreted proteins were identified respectively by liquid chromatography tandem mass spectrometry and multiplex immunoassay respectively. This disease dish successfully recapitulated some aspects of the disease, and provided unique insight. The 27 cytokines that were examined are associated with immune signalling and contribute to neurological functions such as synaptic plasticity. As multiple sclerosis is an autoimmune disease, it is vital to understand the role inflammation has on the fate of stem cells. Cytokine expression in multiple sclerosis patients had greater homogeneity than that of non-multiple sclerosis patients, which was expected as the non-multiple sclerosis patient cohort could have various undiagnosed and undetectable health conditions. Interestingly, cytokine secretions significantly differed between patient cohorts and suggested that adipose stem cells isolated from multiple sclerosis patients have a reduced neurogenic capacity. This was supported through the analysis of cellular proteins as multiple sclerosis patient adipose stem cells had a reduced neurogenic capacity, and proteins associated with multiple sclerosis were identified. Phase contrast microscopy complemented this as the multiple sclerosis patient derived adipose stem cells did not appear to undergo the same morphological changes that are characteristic of differentiation. The data generated from this investigation offers a comprehensive analysis of adipose stem cell neurogenic capacity, and establishes a disease in a dish model that reveals disease insight.